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Conor Higgins
Senior Analytics Engineer with 5+ years of experience designing, building and owning data pipelines at scale. At Deliveroo I specialise in end-to-end pipeline development, from raw ingestion through to production data models and dashboards trusted by commercial and science stakeholders. I combine deep technical expertise across Snowflake, Python and Prefect with strong cross-functional relationships and full domain ownership. Passionate about sport and data, with a Masters dissertation in Bayesian modelling of Premier League football outcomes.
Education
MSc Statistics
Lancaster
Lancaster University
2019 - 2018
- Merit awarded. Dissertation: ‘Dynamic Bayesian models for predicting Premier League Football outcomes’, applying advanced Bayesian statistical modelling to sports performance data.
BSc Mathematics with Statistics
Lancaster
Lancaster University
2018 - 2015
- Strong quantitative foundation in statistics, probability and mathematical modelling; minor in Chemistry.
Experience
Senior Analytics Engineer
Remote
Deliveroo
Current - 2025
- Built and owned the Selection Intelligence platform end-to-end, a Snowflake and Python system ingesting ML pipeline outputs to map the global merchant universe across all Deliveroo markets, predict monthly merchant revenue, and surface high-value sales leads for the commercial sales team.
- Reduced entire data pipeline runtime from over 4 hours to under 2 hours through systematic refactoring of hundreds of models and scripts, full mart modelling of the team’s domain, and targeted Snowflake cost and performance optimisations.
- Lead AI tooling onboarding and upskilling for the Analytics Engineering function; run weekly office hours for analysts and commercial stakeholders; serve as escalation on-call engineer for major data incidents.
Analytics Engineer
London
Deliveroo
2025 - 2022
- Served as lead Analytics Engineer for the restaurant domain, taking full ownership of the data infrastructure including ELT pipelines, dimensional models and the reporting layer powering daily commercial decision-making across all Deliveroo markets.
- Drove cross-functional partnerships with Commercial, Science and Product teams, maintaining data powering Deliveroo’s most critical Looker dashboards used daily by senior stakeholders.
- Designed and maintained complex ELT pipelines using Snowflake and Python; developed deep on-call experience supporting platform reliability at scale.
Analytics Engineer
London
DAZN
2022 - 2020
- Designed and built a full payments data warehouse from the ground up using Snowflake, SQL and Airflow, enabling reporting on Invoices, Transactions and Involuntary Churn for a global streaming platform.
- Built and maintained scalable ELT pipelines using dbt, Airflow and Python; partnered with PMs and stakeholders to deliver data-led insights informing key product and commercial decisions.
- Contributed across Analytics Engineering and Data Science workstreams, building expertise in modern data stack tooling and large-scale dimensional modelling.